Ju Fan

Statistical and Nonlinear Physics · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 31 citations into it
• Artificial Intelligence — 9 citations into it
• Computer Networks and Communications — 8 citations into it
• Management Science and Operations Research — 8 citations into it
• Information Systems — 5 citations into it

Whom Ju Fan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Manuel Gomez-Rodriguez
2. David Kempe
3. Amit Goyal
4. Wei Lu
5. Yajun Wang
6. Youze Tang
7. Bernhard Schölkopf
8. Masahiro Kimura
9. Chi Wang
10. Jon M. Kleinberg

Papers from Ju Fan's perspective

Ordered by how strongly the researchers Ju Fan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximizing the spread of influence through a social network
2. Efficient influence maximization in social networks
3. Mining the network value of customers
4. Cost-effective outbreak detection in networks
5. An analysis of approximations for maximizing submodular set functions—I
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Scalable influence maximization for prevalent viral marketing in large-scale social networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet classification with deep convolutional neural networks
10. Long Short-Term Memory

Their papers

• Influence Maximization on Social Graphs: A Survey (2018) — 618 citations